mirror of
https://github.com/allaunthefox/Research-Stack.git
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234 lines
10 KiB
Python
234 lines
10 KiB
Python
#!/usr/bin/env python3
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"""
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DisplayPort Controller Computational Repurposing
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Analyzes DisplayPort controller for general-purpose computation capabilities.
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"""
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import json
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from pathlib import Path
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from typing import Dict, List, Optional
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# Paths
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OUTPUT_DIR = Path("/home/allaun/Documents/Research Stack/out")
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class DisplayPortComputationalController:
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"""Analyzes DisplayPort controller for general computation."""
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def __init__(self):
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self.displayport_controller = {
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"device": "DisplayPort 1.4a Controller",
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"gpu": "NVIDIA GeForce RTX 4070 SUPER",
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"lanes": "4 lanes (Main Link)",
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"bandwidth": "32.4 Gbps (HBR3 mode)",
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"link_rates": ["RBR: 1.62 Gbps/lane", "HBR: 2.7 Gbps/lane", "HBR2: 5.4 Gbps/lane", "HBR3: 8.1 Gbps/lane"],
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"computational_potential": "HIGH (4 lanes, MST, DSC, FEC, audio)"
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}
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self.displayport_capabilities = {
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"main_link": "4 lanes for data transmission",
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"aux_channel": "AUX channel (I2C-like) for control",
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"hot_plug_detect": "HPD for connection detection",
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"mst": "Multi-Stream Transport (multiple displays)",
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"dsc": "Display Stream Compression",
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"fec": "Forward Error Correction",
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"audio": "Up to 32 audio channels",
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"vrr": "Variable Refresh Rate"
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}
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def analyze_computational_potential(self) -> Dict:
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"""Analyze computational potential of DisplayPort controller."""
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analysis = {
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"main_link_computation": {
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"feasible": True,
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"mode": "Main link computation",
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"description": "Use 4-lane main link for data transmission computation",
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"throughput": "32.4 Gbps (HBR3 mode)",
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"latency": "Lane rate limited (8.1 Gbps per lane)",
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"precision": "8-bit per lane (10-bit encoded)",
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"power": "5-20W (DisplayPort controller)",
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"risk": "LOW-MEDIUM (requires custom encoder/decoder)"
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},
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"aux_channel_computation": {
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"feasible": True,
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"mode": "AUX channel computation",
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"description": "Use AUX channel (I2C-like) for control computation",
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"throughput": "AUX channel limited (slow)",
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"latency": "AUX channel latency (1-10ms)",
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"precision": "8-bit AUX commands",
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"power": "1-5W",
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"risk": "LOW (AUX channel hijacking)"
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},
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"mst_computation": {
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"feasible": True,
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"mode": "MST computation",
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"description": "Use Multi-Stream Transport for parallel computation",
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"throughput": "32.4 Gbps shared across streams",
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"latency": "MST packet latency (1-5ms)",
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"precision": "8-bit MST packets",
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"power": "5-15W",
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"risk": "MEDIUM (MST configuration)"
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},
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"dsc_computation": {
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"feasible": True,
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"mode": "DSC computation",
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"description": "Use Display Stream Compression for computation",
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"throughput": "Compressed bandwidth (15-20 Gbps)",
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"latency": "DSC encode/decode latency (1-5ms)",
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"precision": "8-bit DSC blocks",
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"power": "5-10W",
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"risk": "LOW-MEDIUM (DSC bypass)"
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}
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}
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return analysis
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def design_computational_approach(self) -> Dict:
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"""Design DisplayPort-based computational approach."""
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approach = {
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"main_link_computation": {
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"concept": "Use 4-lane main link for computation",
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"implementation": "Encode data in 4-lane main link",
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"operations": ["lane arithmetic", "parallel transmission", "link training"],
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"throughput": "32.4 Gbps (HBR3)",
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"latency": "8.1 Gbps per lane",
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"precision": "8-bit per lane (10-bit encoded)",
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"power": "5-20W",
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"risk": "LOW-MEDIUM"
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},
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"aux_channel_computation": {
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"concept": "Use AUX channel for computation",
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"implementation": "Hijack AUX channel (I2C-like) for control",
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"operations": ["AUX commands", "EDID read", "DPCD access"],
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"throughput": "AUX channel limited",
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"latency": "1-10ms (AUX channel)",
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"precision": "8-bit AUX commands",
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"power": "1-5W",
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"risk": "LOW"
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},
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"mst_computation": {
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"concept": "Use MST for parallel computation",
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"implementation": "Use Multi-Stream Transport for parallel streams",
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"operations": ["stream arithmetic", "parallel processing", "MST routing"],
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"throughput": "32.4 Gbps shared",
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"latency": "1-5ms (MST packet)",
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"precision": "8-bit MST packets",
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"power": "5-15W",
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"risk": "MEDIUM"
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},
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"dsc_computation": {
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"concept": "Use DSC for computation",
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"implementation": "Use Display Stream Compression for encoding",
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"operations": ["DSC arithmetic", "compression computation", "block processing"],
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"throughput": "15-20 Gbps (compressed)",
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"latency": "1-5ms (DSC encode/decode)",
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"precision": "8-bit DSC blocks",
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"power": "5-10W",
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"risk": "LOW-MEDIUM"
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}
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}
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return approach
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def estimate_performance(self) -> Dict:
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"""Estimate performance of DisplayPort controller computation."""
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performance = {
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"main_link": {
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"throughput": "32.4 Gbps (HBR3)",
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"latency": "8.1 Gbps per lane",
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"precision": "8-bit per lane (10-bit encoded)",
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"operations": "lane arithmetic",
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"power": "5-20W"
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},
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"aux_channel": {
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"throughput": "AUX channel limited",
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"latency": "1-10ms (AUX channel)",
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"precision": "8-bit AUX commands",
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"operations": "AUX commands",
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"power": "1-5W"
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},
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"mst": {
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"throughput": "32.4 Gbps shared",
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"latency": "1-5ms (MST packet)",
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"precision": "8-bit MST packets",
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"operations": "parallel processing",
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"power": "5-15W"
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},
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"dsc": {
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"throughput": "15-20 Gbps (compressed)",
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"latency": "1-5ms (DSC encode/decode)",
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"precision": "8-bit DSC blocks",
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"operations": "compression computation",
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"power": "5-10W"
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}
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}
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return performance
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def run_analysis(self) -> Dict:
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"""Run DisplayPort controller computational analysis."""
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print("=" * 60)
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print("DISPLAYPORT CONTROLLER COMPUTATIONAL ANALYSIS")
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print("=" * 60)
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# Step 1: Analyze DisplayPort controller
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print("\n[1/4] Analyzing DisplayPort controller...")
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print(f" Device: {self.displayport_controller['device']}")
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print(f" GPU: {self.displayport_controller['gpu']}")
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print(f" Lanes: {self.displayport_controller['lanes']}")
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print(f" Bandwidth: {self.displayport_controller['bandwidth']}")
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print(f" Computational Potential: {self.displayport_controller['computational_potential']}")
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# Step 2: Analyze computational potential
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print("[2/4] Analyzing computational potential...")
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potential = self.analyze_computational_potential()
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print(f" Main Link: {potential['main_link_computation']['feasible']} - {potential['main_link_computation']['risk']}")
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print(f" AUX Channel: {potential['aux_channel_computation']['feasible']} - {potential['aux_channel_computation']['risk']}")
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print(f" MST: {potential['mst_computation']['feasible']} - {potential['mst_computation']['risk']}")
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print(f" DSC: {potential['dsc_computation']['feasible']} - {potential['dsc_computation']['risk']}")
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# Step 3: Design computational approach
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print("[3/4] Designing computational approach...")
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approach = self.design_computational_approach()
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print(f" Computational modes: {len(approach)}")
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for mode, details in approach.items():
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print(f" {mode}: {details['throughput']} - {details['risk']}")
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# Step 4: Estimate performance
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print("[4/4] Estimating performance...")
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performance = self.estimate_performance()
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print(f" Main Link: {performance['main_link']['throughput']}")
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print(f" AUX Channel: {performance['aux_channel']['throughput']}")
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print(f" MST: {performance['mst']['throughput']}")
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print(f" DSC: {performance['dsc']['throughput']}")
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print("\n" + "=" * 60)
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print("DISPLAYPORT CONTROLLER COMPUTATIONAL ANALYSIS COMPLETE")
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print("=" * 60)
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return {
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"displayport_controller": self.displayport_controller,
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"displayport_capabilities": self.displayport_capabilities,
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"computational_potential": potential,
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"computational_approach": approach,
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"performance_estimates": performance
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}
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if __name__ == '__main__':
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analyzer = DisplayPortComputationalController()
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results = analyzer.run_analysis()
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# Save results
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output_file = OUTPUT_DIR / "displayport_computational_controller.json"
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with open(output_file, 'w') as f:
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json.dump(results, f, indent=2)
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print(f"\nAnalysis results saved to {output_file}")
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# Print summary
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print("\n" + "=" * 60)
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print("DISPLAYPORT COMPUTATIONAL CONTROLLER SUMMARY")
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print("=" * 60)
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print(f"Device: {results['displayport_controller']['device']}")
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print(f"Bandwidth: {results['displayport_controller']['bandwidth']}")
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print(f"Computational Potential: {results['displayport_controller']['computational_potential']}")
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print(f"Max Throughput: {results['performance_estimates']['main_link']['throughput']}")
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